Monothetic Analysis Object

Arguments

data matrix with the same dimensions as the original data matrix, but with factors coded as 0 and 1, and all missing values replaced.

order a vector giving a permutation of the original observations to allow for plotting, in the sense that the branches of a clustering tree will not cross.

order.lab a vector similar to order, but containing observation labels instead of observation numbers. This component is only available if the original observations were labelled.

variable vector with length n-1, where n is the number of observations, specifying the variables used to separate the observations of order.

step vector with length n-1, where n is the number of observations, specifying the separation steps at which the observations of order are separated.

Description

These are objects of class "mona" They represent the divisive hierarchical clustering of a dataset with binary measurements only.

GENERATION

This class of objects is returned from mona.

METHODS

The "mona" class has methods for the following generic functions: print, summary, plot.

STRUCTURE

A legitimate mona object is a list with the following components:

See Also

mona, plot.mona.


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